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Side Effect of AI Overdose – a Positive and Healthy Outcome!

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Artificial Intelligence is in everyone’s agenda now. Investment in AI research by technology companies and institutions is growing exponentially. It is rapidly becoming a mainstream technology that is helping transform and empower us in many ways. Success is motivating researchers to explore new ways to tame artificial general intelligence. A recent study ( AI Index 2018 Annual Report ) by leading academicians from Stanford, Harvard and MIT suggests that research papers published on AI continue to outpace that of computer science and has shown 8 fold growth in the past decade. The same report states interest in rewards based reinforcement learning is overtaking data intensive deep learning neural networks in the recent years. The IEEE publication recently reported how a new application of AI based on reinforcement learning is helping amputees walk with robotic knee. This is one such example of many medical advancements, powered by AI. The story is same across the indust
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Realize the potential of AI: Enablers

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We are ready to say goodbye to 2018, the year we saw “the impact of Artificial Intelligent on humanity” debates taking place at every level. AI is already becoming a commodity and its potential positive (and negative) effect is not a hidden secret anymore. AI has seen widespread adoption by multiple industries. At the same time the rapid advancements, especially in image recognition and autonomous actions, surveillance, and concerns around bias in decision-making, triggered actions from governments, research institutes and regulatory institutions. Never before we have seen so many data privacy breaches, and testimonies by corporate CEOs. While there is enough press on negative effects of AI, there is no denying the fact that AI has transformed many early adopters, making it more urgent than ever for others to accelerate their digital transformations. Gartner says by 2020, AI will create more jobs than it eliminates. In the coming year we expect to see much more scrutiny and audits
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Maximize AI Outcome - Essential Building Blocks

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Artificial Intelligence continue to shape our world and imagination. Industry analysts continue to project increasing adoption rate in multiple industries. Algorithms we invented have led to huge advances in several different industries. While it touched our imagination with self-driving cars, it entered our lives unannounced through suggestions on what to buy and what to watch. Now it is touching almost all walks of life – gaming, healthcare, fraud detection, court verdicts, insurance claim, hiring and so on. Machines are getting smarter and AI is increasingly integrated in to our daily lives. But the path to AI nirvana for enterprises is often a slippery slope. Those who got the basic building blocks established were successful in driving business outcomes leveraging AI. In part-1 of this series, I have discussed few use cases of AI. In this article let us explore basic requirements enterprises should possess to exploit the potential of AI and other digital technologies.
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Transformation potential of AI - some use cases for you!

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Artificial Intelligence (AI) stands out as a transformational technology. Introduction of AI can transform many business processes in companies for efficiency, productivity and customer service excellence. These use cases often will have wide-ranging implications for many stakeholders – management, employees and its customers. In this multipart series, I intend to explore application of AI in industry specific segments and its implications. Along with Internet of Things (IoT), Artificial Intelligence has immense potential in transforming business operations throughout the supply chain and customer service. Applying Machine Learning (ML) to the machine generated data and combining the data from external sources like logistical providers, distribution channel and ERP systems, companies can accelerate automation, thereby productivity, efficiency and predictability of operations. Likewise, with Natural Language Processing (NLP) capability, companies can drive better customer experienc
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Edge Computing and IoT, Why This Coming Together Matters Now!

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In the world of AI, data is like oxygen.  If you do not possess and harness data, you will be left out in the wild. I have been advocating edge computing as an essential component of digital transformation journey in all my previous articles .  It is gaining prominence daily.  Cloud behemoths Microsoft, Amazon, Google and their lesser known competitors have increased their attention to grab the market share in this new frontier.  Microsoft through Azure IoT Edge seeking a larger foothold in Industrial IoT segment, and AWS with its Greengrass.  Intelligent edge (computing) was a critical component in most of the testbeds showcased in the just concluded Hannover Messie 2018 (Industrie 4.0) conference as well.  Nearly every industrial company on earth were exhibiting in this year’s conference promoting, digitization, analytics, digital twins, industrial software , and applications , promising to fundamentally transform manufacturing forever. From the early days of computing, t
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GDPR, a speed breaker for IoT?

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EU General Data Protection Regulation (GDPR) enforcement date (May 25, 2018) is fast approaching. It was designed to harmonize data privacy laws across Europe. In this connected world, its impact is not limited to EU only. It has the potential to reshape global organizations’ data privacy policies and approach. Data is often touted as “the new oil” and entire new economy is built on data sharing. New use cases are mostly around how to extract meaningful insights from the data collected, and often there is not much diligence on what to collect. The approach mostly is to get as much data as possible, and then analyze and discard the unwanted. There are no guarantees that discarded data is not in vulnerable hands for possible exploitation. Now comes GDPR, starting to put breaks on this whole model. With huge penalties for non-compliance, companies are making changes to data collection and storage methods, rewriting contracts and applications. In the Internet of Things (IoT)
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CIO - Time is up or now is the time?!

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In this age of digital, every company is becoming a technology company. It is disrupting the role of CIO. CIO faces many challenges while companies trying to reinvent to stay relevant. Let us discuss some of those challenges faced by a typical CIO and some suggestions later in this article to turn the tide for a win-win. Expectation mismatch - there is a ground reality that is completely in the opposite direction of what the company wants to achieve. Business is under tremendous pressure to meet the market demand. Customers are looking for value and quick solutions. And, there is an information overload around us projecting all the positives of digital transformation, without much detail on how the success was achieved. Most of the organizations learns the hard way that there is no one-size-fits-for-all approach exists. It may work differently in startups than in traditional companies. The pressure is now on CIO, with a question “they have done it, why not we?” Aging IT infras
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